דרושים » תוכנה » AI Senior Backend Engineer

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes, they arent the only factor. If you dont have nearly enough experience, or not all the skills, wed still like to hear from you. This could be the perfect fit for you and us.
6 years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design and scalable architecture.
Experience with testing methodologies - unit-testing, TDD, mocking, etc.
Experience with relational databases like PostgreSQL, MySQL, etc.
Independent, fast learner, and excited about learning new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.
Kotlin / Scala / Java experience is a big plus.
Experience with AWS or an equivalent cloud platform is a plus.

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
* 5+ years of experience as a backend Engineer or similar role, specifically building and operating production-grade, scaled APIs and microservices.
* Experience with Generative AI concepts and Large Language Models (LLMs).
* Proven self-learner with the ability to quickly grasp new technologies and complex domains.
* Hands-on experience with Kubernetes (K8s) and cloud platforms (AWS, GCP).
* Experience with CI/CD pipelines and integrating automated tests
* Proven ability to solve complex technical problems and make data -driven decisions.
* Excellent communication and collaboration skills, with a track record of working effectively in a team-oriented environment.
* Hands-on experience with observability tools such as Prometheus, OpenTelemetry etc. Bonus Points:
* Familiarity with Go programming language.
* Experience working within an Infrastructure or Core Engineering team.
* Experience with LLM orchestration frameworks like LangChain.
* Familiarity with prompt engineering, prompt optimization techniques, and managing system prompts.

Requirements:
5+ years of experience in backend systems engineering
Relevant educational background in Computer Science, Software Engineering, or a related field
High Proficiency in the Python programming language
Extensive experience with Docker, microservices architecture, and Kubernetes (or other process-mesh)
Experience with cloud-based development
Proficiency in working with various databases, e.g., MongoDB and Cassandra
Strong knowledge of NoSQL databases
Experience with data management, processing, and analytics
Expertise in implementing and managing monitoring solutions
Familiarity with Web UI development (advantage).

Requirements:
At least 8 years of experience as a Backend Software Engineer
Proven experience with Node.js, TypeScript
Experience working with SaaS systems, microservices architecture & large-scale environments - an advantage
Passion for writing clean, SOLID and robust code
A team player with strong communication skills, but also capable of working independently
Fluent English speaker (verbal and written communication is a must)
B.Sc. in Computer Science, or military equivalent certifications.

Requirements:
5+ years of professional backend engineering experience
Strong proficiency in at least one backend programming language (Java etc)
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.).
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.

Requirements:
Bachelors degree in Computer Science, Engineering, or equivalent experience
3+ years of hands-on experience in backend development, with expertise in Python
Proficiency in Python, with a solid grasp of its ecosystem and best practices
Experience developing scalable, reliable components in production environments
Familiarity with cloud platforms (AWS preferred)
Familiarity with containerization tools such as Docker and Kubernetes
Strong analytical skills with the ability to diagnose and resolve complex technical issues
Experience researching, evaluating and integrating new technologies within existing codebases is a big plus.
Advantages:
Experience with Pydantic, SQLAlchemy and FastAPI
Experience researching, evaluating and integrating new technologies within existing codebases.

Requirements:
6+ years of experience in object oriented programming and infrastructure development
BSc in computer science or equivalent (please include GPA)
Strong end-to-end ownership mindset
Proven experience and strong understanding of big data systems, including hands-on work with a variety of database technologies
Proven experience as a tech leader, including mentoring and guiding of others
Production systems experience
Product driven and business oriented
Strong analytical skills
Fearlessness to dive into what you dont know
Passion for solving complex scaling challenge
Willing to work intensively to gain fast results in an unknown field
High self-learning abilities
Excellent communication and collaboration skills to work across teams
Bonus points if you have:
Experienced developing large scale distributed systems, Experienced with Web/JS, Experienced with Kafka / Docker / K8S, Experienced with NoSQL and big data distributed DB (Vertica / Cassandra / ES / BQ) Experienced with Spark / HDFS.

Requirements:
6+ years of experience in backend development using Python, Java, or a similar language.
3+ years of experience leading technical teams.
Expertise with relational databases (e.g., PostgreSQL, MySQL) and NoSQL/datastore systems (e.g., MongoDB, Redis).
Strong understanding of cloud infrastructure (AWS, GCP) and container orchestration technologies (e.g., Docker, Kubernetes).
Hands-on experience with building systems that support Big Data, analytics pipelines, or event-driven architectures a strong advantage.
Familiarity with CRM platforms, MarTech systems, or Data Science tooling a plus.
Deep understanding of software design principles, distributed systems, testing methodologies, and CI/CD best practices.
Excellent interpersonal skills with a proven ability to collaborate cross-functionally.
Passion for innovation, experimentation, and pushing the limits of technology.